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Testing for spatial lag dependence and homoskedasticity in a random effects panel data model

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  • Baltagi, Badi H.
  • Liu, Long

Abstract

This paper derives a joint Lagrange Multiplier (LM) test for spatial correlation and homoskedasticity for a spatial autoregressive (SAR) panel model with random effects. The heteroskedasticity in the random effects term is an unknown function of known strictly exogenous variables as in Holly and Gardiol (2000). The latter paper deals with a panel random effects model with heteroskedasticity that ignores the spatial correlation. Conditional LM tests for homoskedasticity given spatial lag correlation, as well as zero spatial lag correlation given heteroskedasticity are also derived. Monte Carlo experiments are performed to study the small sample performance of these tests.

Suggested Citation

  • Baltagi, Badi H. & Liu, Long, 2025. "Testing for spatial lag dependence and homoskedasticity in a random effects panel data model," Economics Letters, Elsevier, vol. 254(C).
    • Handle: RePEc:eee:ecolet:v:254:y:2025:i:c:s0165176525003064
    DOI: 10.1016/j.econlet.2025.112469
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    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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